Package: PLRModels
Type: Package
Title: Statistical Inference in Partial Linear Regression Models
Version: 1.4
Date: 2023-08-19
Author: German Aneiros Perez and Ana Lopez-Cheda
Maintainer: Ana Lopez-Cheda <ana.lopez.cheda@udc.es>
Description: Contains statistical inference tools applied to Partial Linear Regression (PLR) models. Specifically, point estimation, confidence intervals estimation, bandwidth selection, goodness-of-fit tests and analysis of covariance are considered. Kernel-based methods, combined with ordinary least squares estimation, are used and time series errors are allowed. In addition, these techniques are also implemented for both parametric (linear) and nonparametric regression models.
License: GPL-3
Imports: stats
NeedsCompilation: no
Packaged: 2023-08-19 10:19:59 UTC; Ana
Repository: CRAN
Date/Publication: 2023-08-19 10:42:44 UTC
Built: R 4.6.0; ; 2026-04-25 21:13:09 UTC; unix
